A system for generating power includes an environmental engine operating on one or more computing devices that determines a wind flowing over a blade of a wind turbine, wherein the wind flowing over the blade of the wind turbine varies based on environmental conditions and operating parameters of the wind turbine. The system also includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a plurality of different models for the wind turbine. Each model characterizes a relationship between at least two of a rotor speed, a blade pitch, the wind flowing over the blade, a wind speed and a turbulence intensity for the wind turbine. The AI ensemble engine selects a model with a highest efficiency metric, and simulates execution of the selected model to determine recommended operating parameters.

A system and method are provided for controlling a wind turbine in response to a blade liberation event. Accordingly, estimated response signatures for the wind turbine are determined. Sensor data indicative of at least two actual response signatures of components of the wind turbine to a rotor loading are collected. The actual response signatures are compared to the estimated response signatures. The two or more actual response signatures meeting or exceeding the estimated response signatures is indicative of a blade liberation event. In response to detecting the blade liberation event, a rapid shutdown control logic is initiated to decelerate the rotor at a rate which exceeds a nominal deceleration rate of the rotor.

A wind turbine control unit includes an upsampling module that receives a first control signal that includes a current control sample value and a predicted control trajectory. The upsampling module also calculates a second control signal in dependence on the current control sample value and the predicted control trajectory. The second control signal has a higher frequency than the first control signal. The upsampling module further outputs the second control signal for controlling an actuator.

The present disclosure describes methods, apparatuses, and systems to protect wind turbines, wind farms, and power infrastructure. For instance, wind turbines produce several streams of data varying over time, including sensor readings from components in wind turbines, network traffic from SCADA systems, data from wind farm internal networks, data from the internet, etc. According to the techniques described herein, wind farms may be protected by identifying patterns that may not be apparent from individual time series or network data. Embodiments of the present disclosure include integration and fusion of information from various time series data sources and network data sources for detecting patterns in data (e.g., patterns in data that may indicate an abnormal event, such as wind farm component failure, a control system cyber-attack, etc.). For instance, in some cases, such patterns may be used to detect an abnormal event of interest (e.g., such as an attack).

The invention relates to a method for sending target values to a wind farm regulator of a wind farm via a wind farm server, wherein the wind farm server has an input interface, and the input interface is used to receive target values for the wind farm regulator after a successful authentication by an access data record, wherein one of several predefined user identifiers is allocated in the wind farm server to each of several access data records, which correspond to predefined access data records, wherein the wind farm server is used to allocate the user identifier allocated to the access data record used for successful authentication before receiving the target value to a target value received from the input interface, and received target values with the allocated user identifier are output to the wind farm regulator. The invention further relates to a wind farm server and a system with a wind farm server.

A control arrangement of a wind turbine includes a watchdog including a reset module and a trigger module, wherein the watchdog reset module is configured to perform an internal reset when a sign-of-life signal is received from a remote communication system within a predetermined time limit, and wherein the watchdog trigger module is configured to issue a watchdog trigger when the predetermined time limit is exceeded; a sensor arrangement including a number of sensors configured to observe local parameters and to report local sensor data; and a wind turbine controller that initiates a local control sequence in response to the watchdog trigger, which local control sequence is configured to switch between a first mode of operation and a second mode of operation on the basis of the local sensor data. A method of operating a wind turbine is further provided.

Testing data transfer at the application layer of a wind power surveillance computer system. One technique includes preparing a test message with a message id, transferring the test message from a first computer entity to a second computer entity, stamping the test message with a time stamp, when transfer is initiated, stamping the test message with a transfer id and a corresponding transfer time stamp, when the test message is received at the second entity, transferring the test message from the second computer entity at the application layer to the first computer entity, stamping the test message with an arrival time stamp, when the test message arrives at the first entity, storing the message id and the transfer id with corresponding time stamp and corresponding transfer time stamp, and the arrival time stamp, and comparing the stored time stamp with the transfer time stamp and with the arrival time stamp.

A wind park control system for controlling wind turbines of a wind park during a plant controller handover is provided. A plurality of plant controllers compute control values on the basis of system input data, which plant controllers are realized to operate in parallel. One of the plant controllers operates as an active plant controller for computing control values for controlling the wind turbines. One further plant controller operates as a standby plant controller. An output means continually issues control values to the wind turbines of the wind park. A handover arrangement for handing over control from the hitherto active plant controller to an operative standby plant controller is provided such that that standby plant controller then assumes the function of active plant controller. Further, a wind park, a method of controlling a wind park, and a method of performing a plant controller handover in a wind park are provided.

A method to control the operational status of a wind turbine is provided. An operator communication interface establishes a wireless point-to-point communication to a wind turbine communication interface. The wind turbine communication interface is an integrated part of the wind turbine. A control signal is transmitted from the operator communication interface via the point-to-point communication to the turbine communication interface. The control signal is transferred from the turbine communication interface to an internal control system of the wind turbine. The internal control system of the wind turbine changes the operational status of the wind turbine based on the control signal.

Methods, apparatuses, and systems for collecting the installation error of the wind vane are provided. The image of the blades of the wind turbine and the outer rotor of the generator is obtained. It is determined whether the wind vane is aligned with the center line of the wind turbine, according to a relationship between the center line of the wind turbine and the orienting plane of the wind vane in the image. In a case that the wind vane is not aligned with the center line of the wind turbine, the deviation angle between the wind vane and the center line of the wind turbine is calculated, and a direction of the wind vane is corrected according to the deviation angle. Therefore, installation errors of the wind vane are accurately determined and corrected, and accuracy is improved for installation of the wind vane.